The VIDI research group led by Professor Kwan-Liu Ma has introduced many novel approaches to visualizing scientific data at extreme scale through its participation in the DOE SciDAC (Scientific Discovery through Advanced Computing) program. Several software prototypes are made available here for demonstrating some of the new concepts and capabilities.


2-3 Swap Parallel Image Compositing Library

2-3 Swap extends the binary swap parallel image compositing algorithm for using arbitrary numbers of processors.
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ULtravis-P is a library for particle data analysis and visualization based on clustering methods
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Parallel Feature Extraction and Tracking

PFET is a scalable parallel algorithm for tracking temporal vortical features commonly found in 3D flow field data.
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ExMage is a library to perform in situ visualization for large scale scientific simulation.
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Parallel Distance Field Computing

A parallel distance field computing library for a variety of visualization, graphics, and data analysis applications.
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These research projects were sponsored in part by U.S. Department of Energy SciDAC Program through grants DE-FC02-06ER25777, DE-CS0005334, and DE-FC02-12ER26072 with program managers Lucy Nowell and Ceren Susut-Bennett.

For further information, please contact Kwan-Liu Ma.